Brain mechanisms of motor control

Signal processing, machine learning, deep learning and neuroscience

Material synthesis, defects, optical spectroscopy, neuromorphic computing

Information theory, statistical learning, computational algebra

Molecular simulation and coarse-graining methods. Membrane biophysics. Mechanobiology.

Large scale computational model of fusion plasmas

Human speech communication, signal and information processing, machine learning, text analytics

Physics at low dimensions: Interaction in quantum dots and quantum wires,

Human Sensing and Perception, Computer Vision and Machine Learning

Computer architecture, Hardware-Software co-design, Operating Systems

Neural Circuits, Plasticity and Degeneracy, Pain and Itch, Animal Behavior, Machine Vision

Systems neuroscience, Motor learning, Decision making, Reinforcement learning

Cognition, Computation and Behaviour

Learning and Memory

Interests relevant to BCD:- Time series analysis; Understanding EEG/ECG by nonlinear dynamical methods; Fluid dynamics; Computational astrophysics and data analysis

Digital signal processing, information theory, estimation theory

Bio-inspired speech/audio processing, Image processing, Biomedical

Neuromorphic computing, mixed signal VLSI systems, computational neuroscience,

Interface of computer science and microeconomics & algorithmic aspects of fair division.

Systems theory, probabilistic graphical models, stochastic processes, geometric tessellation

Computational biology, genomics, graph algorithms, discrete algorithms, data structures, high performance computing

Machine learning, convex optimization, bioinformatics

Natural Language Processing (NLP), Deep Learning, Interpretability and Analysis of Models, Inclusive Evaluation, Societal and Ethical Considerations of AI

Mixed-signal IC design, FPGA design, Hardware Security, Machine Learning, Biomedical circuits and systems.

ML/AI in Geoscience Applications, Bayesian Inference, Uncertainty Quantification, Spatio-temporal Data Analytics, and Reinforcement Learning

Signal Processing at Synapse, Information Processing, Nanoscopy, Neuromorphic Microscopy

Neuronal excitation, Ion channels, Molecular Neuroscience, Epilepsy, Aging

Signal Processing Theory and Applications, Graph Signal Processing, Network Sciences

Minimally invasive and non-invasive technologies, Implantable Microchips,

Signal Processing Theory and Applications, Wireless Communication Systems

Machine learning, natural language processing, data integration, cognitive science.

Material science, Ferroic materials, memristors, domain boundary engineering,

Computational methods in medical imaging, multi-modal imaging,

Nano-Fabrication,Nano-Structured Materials,Optoelectronics & Spectroscopy

Deep Learning, Representation Learning, Applications to Digital Healthcare

Deep Low Level Vision, Object Category Understanding, Feature Representations.

Communication, computation, and control over networks, decentralised algorithms

Image and video signal processing, computer vision

Cellular Neurophysiology, Biophysics of Neurons and Computational Neuroscience.

VLSI – Nano technology, nano scale semiconductor device, computational nanoelectronics

Data-driven Modelling, Physics Informed Neural Networks, Machine Learning at Scale, MLOps

Machine Learning, Pattern Recognition, Data Mining, Learning Automata, Statistical issues in Machine Learning.

Performance analysis, stochastic control and optimization, simulation, communication networks

Information theory, coding and signal processing for data storage,

Machine learning, data mining

Robotic systems, be it control or learning or optimization.

Automated theorem proving; Topology & Geometry

Computer Vision, Machine Learning

Visual perception, object recognition

Brain-inspired computing, Edge computing, Molecular electronics, Nano electronics, Chaos

Cognitive Neuroscience, Emotion, Reward, Cognition, Behavior, Brain imaging

Biological transport processes, Cellular signal processing, Spatiotemporal organization of cell signaling, Viral evolution

Neural mechanisms of gamma oscillations, Origins of various brain signals

Communication Networks – Communication systems, sensor networks, energy harvesting systems.

Cryptographic Hardware & Security Protocols,Efficient Digital System Architectures,Quantum Computation,Machine Learning

Medical Image Analysis, Neuroimaging, Machine Learning, Deep Learning, Domain adaptation, Computer Vision

Scientific visualization, computational topology, computational geometry, and geometry processing

Nano-Biotechnology, Biosensors, Interfaces To Neuronal Networks, Neuro-Electronics,Neuronal Networks

Apply game theory, mechanism design, and artificial intelligence techniques to research problems  at the interface of computer science and economics.

Cloud and Edge Computing, Distributed Graph Processing Platforms